shield_lock
JinDaGe
← Back to skills
extension
Category: Marketing & GrowthNo API key required

analyzing-market-size-and-timing

Structures TAM/SAM/SOM analysis with bottom-up and top-down methodology and market timing assessment. Use when sizing markets, validating market opportunity, or assessing timing risk.

personAuthor: jakexiaohubgithub
open_in_newRepositorydownloadDownload package

Analyzing Market Size And Timing

When To Use

  • Evaluating a startup's market opportunity during due diligence for seed or Series A investment
  • Validating founder claims about addressable market in a pitch deck or investment memo
  • Assessing whether market timing supports the investment thesis (too early, right window, too late)
  • Comparing market size across competing deals in the same vertical
  • Stress-testing SAM/SOM assumptions before presenting to an investment committee

Inputs To Gather

  • Company data: product description, target customer profile, pricing model, current revenue/ARR if any
  • Founder claims: any TAM/SAM/SOM figures from the pitch deck or data room
  • Industry reports: analyst estimates from Gartner, IDC, PitchBook, CB Insights, or vertical-specific sources [VERIFY availability and recency of cited reports]
  • Comparable companies: public comps, recent exits, or late-stage private companies in the same market
  • Regulatory/macro context: relevant policy shifts, technology adoption curves, or demographic trends that affect timing
  • Geographic scope: whether the analysis is US-only, multi-market, or global

Workflow

  1. Define the market boundary

    • State the product category and end-user segment precisely (e.g., "cloud-based LIMS for contract research organizations," not "lab software")
    • Distinguish between the broader category (TAM) and the segment the company can realistically address (SAM) given its product, geography, and go-to-market

  2. Run top-down sizing

    • Start with a credible industry-level revenue figure from an analyst report or public filing
    • Apply segmentation filters: geography, customer type, price tier, use case
    • Arrive at a top-down TAM and SAM; note every filter and its source

  3. Run bottom-up sizing

    • Count addressable customer units (companies, users, transactions) from a primary or secondary data source
    • Multiply by realistic average revenue per unit based on the company's pricing or comparable pricing
    • Cross-check the bottom-up SAM against the top-down SAM; flag divergences greater than 2x

  4. Derive SOM (Serviceable Obtainable Market)

    • Estimate realistic market share at 3-5 year horizon based on: competitive density, sales capacity, distribution advantages, switching costs
    • Anchor SOM to comparable company trajectories at similar stage — avoid assuming >5% share in a fragmented market without justification

  5. Assess market timing

    • Technology readiness: Is the enabling technology mature enough for mainstream adoption, or still early-adopter phase? Reference adoption S-curve position
    • Demand signals: Customer pull (inbound interest, RFPs, organic search trends) vs. requiring heavy evangelism
    • Regulatory tailwinds/headwinds: Pending legislation, enforcement trends, or compliance deadlines that accelerate or delay adoption [VERIFY jurisdiction-specific regulatory timelines]
    • Competitive window: Are incumbents asleep, pivoting, or already building? Is the window opening, open, or closing?
    • Classify timing as: Too Early (market needs 3+ years of development), Right Window (demand inflecting, competition nascent), or Late (dominant players established, commoditization underway)

  6. Triangulate and stress-test

    • Compare top-down, bottom-up, and founder-claimed figures side by side
    • Identify the weakest assumption in each approach and test sensitivity (e.g., halve the price assumption or customer count)
    • State a confidence-weighted range rather than a single point estimate

Output

Produce a structured market sizing memo with:

  • Market definition: one-paragraph boundary statement
  • TAM / SAM / SOM table: top-down and bottom-up figures side by side, with sources and key assumptions per line
  • Timing assessment: classification (Too Early / Right Window / Late) with 3-5 supporting data points
  • Key assumptions log: numbered list of every material assumption, flagged as high/medium/low confidence
  • Risk factors: what would invalidate the sizing (e.g., regulatory reversal, platform risk, technology substitute)
  • Recommendation: whether the market size and timing support the investment thesis, with caveats

Quality Checks

  • TAM is not conflated with SAM — the segmentation step is explicit and sourced
  • Bottom-up and top-down approaches are both present; divergence is explained, not ignored
  • SOM is grounded in comparable company data, not aspirational percentages
  • Timing assessment includes at least one quantitative signal (search trends, adoption rates, regulatory deadline) rather than pure narrative
  • Every dollar figure has a cited source or is clearly labeled as an assumption
  • [VERIFY] tags are present for any statistic, regulation, or market figure that is date-sensitive or jurisdiction-dependent
  • No single data source accounts for more than 60% of the analysis — triangulation is required